Checks the installation status of a package in a sandbox. Parameters: sandbox_id (string), package_name (string)
AI agents call check_package_installation_status to retrieve information from MCP Sandbox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves status information about an existing package installation without modifying, executing, or deleting anything. It is purely informational and read-only in nature.
From the tool's definition Tool description states it 'Checks the installation status of a package' — a query operation with no side effects. Parameters are sandbox_id and package_name, both used for lookup only.
Documented attack patterns abuse exactly the kind of access check_package_installation_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Sandbox, and nothing reaches the server without passing your rules. This is the rule we recommend for check_package_installation_status:
{
"version": "1",
"default": "deny",
"tools": {
"check_package_installation_status": {}
}
} check_package_installation_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Checks the installation status of a package in a sandbox. Parameters: sandbox_id (string), package_name (string). It is categorised as a Read tool in the MCP Sandbox MCP Server, which means it retrieves data without modifying state.
Register the MCP Sandbox MCP server in PolicyLayer and add a rule for check_package_installation_status: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Sandbox. Nothing to install.
check_package_installation_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_package_installation_status rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for check_package_installation_status. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
check_package_installation_status is provided by the MCP Sandbox MCP server (johanli233/mcp-sandbox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Sandbox, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 MCP Sandbox tools catalogued and risk-classified — across an index of 43,000+ MCP servers.